rowNorms: Normalize the rows of a matrix.

In ExPosition: Exploratory Analysis with the Singular Value Decomposition

Normalize the rows of a matrix.

Description

This function will normalize the rows of a matrix.

Usage

rowNorms(X, type = NULL, center = FALSE, scale = FALSE)

Arguments

X	Data matrix
type	a string. Type of normalization to perform. Options are hellinger, ca, z, other
center	optional. A vector to center the columns of X.
scale	optional. A vector to scale the values of X.

Details

rowNorms works like link{expo.scale}, but for rows. Hellinger row norm via hellinger, Correspondence analysis analysis row norm (row profiles) via ca, Z-score row norm via z. other passes center and scale to expo.scale and allows for optional centering and scaling parameters.

Value

Returns a row normalized version of X.

Author(s)

Derek Beaton

ExPosition documentation built on April 13, 2025, 5:08 p.m.